# GUIComp: A GUI Design Assistant with Real-Time, Multi-Faceted Feedback

arXiv: https://arxiv.org/abs/2001.05684 · HTML: https://mlsanity.com/paper/2001.05684/

## Key facts

- Cited by 11 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Jan 2020.

## Built on by (most cited first, 11 of 11)

- [UICrit: Enhancing Automated Design Evaluation with a UICritique Dataset](https://mlsanity.com/paper/2407.08850/) (2024)
- [UIClip: A Data-driven Model for Assessing User Interface Design](https://mlsanity.com/paper/2404.12500/) (2024)
- [Predicting and Explaining Mobile UI Tappability with Vision Modeling and Saliency Analysis](https://mlsanity.com/paper/2204.02448/) (2022)
- [Generative Interfaces for Language Models](https://mlsanity.com/paper/2508.19227/) (2025)
- [Synthetic Heuristic Evaluation: A Comparison between AI- and Human-Powered Usability Evaluation](https://mlsanity.com/paper/2507.02306/) (2025)
- [Reimagining Application User Interface (UI) Design using Deep Learning Methods: Challenges and Opportunities](https://mlsanity.com/paper/2303.13055/) (2023)
- [Pairwise GUI Dataset Construction Between Android Phones and Tablets](https://mlsanity.com/paper/2310.04755/) (2023)
- [From Answer Givers to Design Mentors: Guiding LLMs with the Cognitive Apprenticeship Model](https://mlsanity.com/paper/2601.19053/) (2026)
- [From Metrics to Meaning: Time to Rethink Evaluation in Human-AI Collaborative Design](https://mlsanity.com/paper/2402.07911/) (2024)
- [LikeThis! Empowering App Users to Submit UI Improvement Suggestions Instead of Complaints](https://mlsanity.com/paper/2603.04245/) (2026)
- [Design Theater: Evaluating the Gap Between User-Facing Design Reasoning and Implementation in Generative UI Tools](https://mlsanity.com/paper/2607.22928/) (2026)

## Abstract (arXiv)

Users may face challenges while designing graphical user interfaces, due to a lack of relevant experience and guidance. This paper aims to investigate the issues that users with no experience face during the design process, and how to resolve them. To this end, we conducted semi-structured interviews, based on which we built a GUI prototyping assistance tool called GUIComp. This tool can be connected to GUI design software as an extension, and it provides real-time, multi-faceted feedback on a user's current design. Additionally, we conducted two user studies, in which we asked participants to create mobile GUIs with or without GUIComp, and requested online workers to assess the created GUIs. The experimental results show that GUIComp facilitated iterative design and the participants with GUIComp had better a user experience and produced more acceptable designs than those who did not.